Ki Mo Kim

1.8k total citations
50 papers, 1.5k citations indexed

About

Ki Mo Kim is a scholar working on Molecular Biology, Dermatology and Clinical Biochemistry. According to data from OpenAlex, Ki Mo Kim has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Dermatology and 6 papers in Clinical Biochemistry. Recurrent topics in Ki Mo Kim's work include Skin Protection and Aging (7 papers), Advanced Glycation End Products research (6 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Ki Mo Kim is often cited by papers focused on Skin Protection and Aging (7 papers), Advanced Glycation End Products research (6 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Ki Mo Kim collaborates with scholars based in South Korea, Yemen and United States. Ki Mo Kim's co-authors include Young‐Myeong Kim, Hun‐Taeg Chung, Sungwook Chae, A‐Rang Im, Hyun‐Ock Pae, Timothy R. Billiar, Jeong‐Ki Min, Sunga Choi, Byeong Hwa Jeon and Dong Ho Jung and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Cancer Research.

In The Last Decade

Ki Mo Kim

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ki Mo Kim South Korea 21 750 194 183 145 145 50 1.5k
Dario Rusciano Italy 26 772 1.0× 134 0.7× 115 0.6× 119 0.8× 190 1.3× 111 2.1k
Antje Banning Germany 27 1.1k 1.5× 151 0.8× 341 1.9× 195 1.3× 165 1.1× 48 2.2k
Ki Cheon Kim South Korea 24 905 1.2× 168 0.9× 122 0.7× 131 0.9× 147 1.0× 71 1.8k
Vijaya Padma Viswanadha India 27 1.1k 1.5× 176 0.9× 112 0.6× 227 1.6× 139 1.0× 95 2.2k
Jun Shi China 25 1.0k 1.4× 126 0.6× 140 0.8× 285 2.0× 136 0.9× 48 1.8k
Young Jin Kang South Korea 22 684 0.9× 209 1.1× 70 0.4× 160 1.1× 226 1.6× 73 1.4k
Seong Min Kim South Korea 20 857 1.1× 162 0.8× 152 0.8× 178 1.2× 105 0.7× 64 2.0k
Hirotsugu Kobuchi Japan 24 824 1.1× 118 0.6× 101 0.6× 179 1.2× 206 1.4× 44 1.9k
Marthandam Asokan Shibu Taiwan 24 957 1.3× 167 0.9× 92 0.5× 258 1.8× 99 0.7× 98 1.9k
Masaaki Nomura Japan 26 980 1.3× 267 1.4× 69 0.4× 183 1.3× 101 0.7× 92 2.4k

Countries citing papers authored by Ki Mo Kim

Since Specialization
Citations

This map shows the geographic impact of Ki Mo Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ki Mo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki Mo Kim more than expected).

Fields of papers citing papers by Ki Mo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki Mo Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ki Mo Kim. The network helps show where Ki Mo Kim may publish in the future.

Co-authorship network of co-authors of Ki Mo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ki Mo Kim. A scholar is included among the top collaborators of Ki Mo Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ki Mo Kim. Ki Mo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Ki Mo, A‐Rang Im, Ki‐Shuk Shim, et al.. (2024). Chikusetsusaponin IVa from Dolichos lablab Linne attenuates UVB-induced skin photoaging in mice by suppressing MAPK/AP-1 signaling. Applied Biological Chemistry. 67(1). 3 indexed citations
2.
Shim, Ki‐Shuk, et al.. (2024). Rosmarinic Acid Ameliorates Dermatophagoides farinae Extract-Induced Atopic Dermatitis-like Skin Inflammation by Activating the Nrf2/HO-1 Signaling Pathway. International Journal of Molecular Sciences. 25(23). 12737–12737. 5 indexed citations
4.
Lee, Eun Song, et al.. (2024). Inhibitory effects of phenylpropionamides from the hemp seed husk on tyrosinase. International Journal of Biological Macromolecules. 282(Pt 2). 136939–136939. 1 indexed citations
5.
Kim, Ki Mo, Kon-Young Ji, Yoon Jung Choi, et al.. (2023). The Safety and Efficacy of 1-Monoeicosapentaenoin Isolated from the Trebouxiophyceae Micractinium on Anti-Wrinkle: A Split-Face Randomized, Double-Blind Placebo-Controlled Clinical Study. Journal of Clinical Medicine. 12(2). 587–587. 4 indexed citations
7.
Shim, Ki‐Shuk, Hyun‐Kyung Song, Youn‐Hwan Hwang, et al.. (2022). Ethanol extract of Veronica persica ameliorates house dust mite-induced asthmatic inflammation by inhibiting STAT-3 and STAT-6 activation. Biomedicine & Pharmacotherapy. 152. 113264–113264. 10 indexed citations
8.
Lee, Su-Won, Si Yeon Kim, Won‐Kyung Yang, et al.. (2022). Efficacy and Safety of GHX02 in the Treatment of Acute Bronchitis and Acute Exacerbation of Chronic Bronchitis: A Phase Ⅱ, Randomized, Double-Blind, Placebo-Controlled, Multicenter Trial. Frontiers in Pharmacology. 12. 761575–761575. 3 indexed citations
9.
Lee, Joo Young, A‐Rang Im, Kon-Young Ji, et al.. (2020). Beneficial Effects of Insect Extracts on Nonalcoholic Fatty Liver Disease. Journal of Medicinal Food. 23(7). 760–771. 4 indexed citations
10.
Yang, Won‐Kyung, Seung‐Hyung Kim, Sungwook Chae, et al.. (2020). Protective Effect of GHX02 Extract on Particulate Matter-Induced Lung Injury. Journal of Medicinal Food. 23(6). 611–632. 6 indexed citations
11.
Ji, Kon-Young, Ki Mo Kim, Yun Hee Kim, et al.. (2018). The enhancing immune response and anti-inflammatory effects of Anemarrhena asphodeloides extract in RAW 264.7 cells. Phytomedicine. 59. 152789–152789. 41 indexed citations
12.
Kim, Ki Mo, et al.. (2017). High–efficiency generation of induced pluripotent stem cells from human foreskin fibroblast cells using the Sagunja-tang herbal formula. BMC Complementary and Alternative Medicine. 17(1). 529–529. 7 indexed citations
13.
Kim, Ki Mo, et al.. (2016). Coniferaldehyde inhibits LPS-induced apoptosis through the PKC α/β II/Nrf-2/HO-1 dependent pathway in RAW264.7 macrophage cells. Environmental Toxicology and Pharmacology. 48. 85–93. 21 indexed citations
14.
Yang, In‐Jun, et al.. (2016). In-vitro anticancer activity of green synthesized silver nanoparticles on MCF-7 human breast cancer cells. Materials Science and Engineering C. 68. 430–435. 104 indexed citations
15.
Park, Gunhyuk, et al.. (2016). Aconitum carmichaelii protects against acetaminophen-induced hepatotoxicity via B-cell lymphoma-2 protein-mediated inhibition of mitochondrial dysfunction. Environmental Toxicology and Pharmacology. 42. 218–225. 15 indexed citations
18.
Kim, Ki Mo, Young Sook Kim, Dong Ho Jung, Jun Lee, & Jin Sook Kim. (2011). Increased glyoxalase I levels inhibit accumulation of oxidative stress and an advanced glycation end product in mouse mesangial cells cultured in high glucose. Experimental Cell Research. 318(2). 152–159. 64 indexed citations
19.
Zhang, Mei Hua, Ki Mo Kim, Jae Hoon Lee, et al.. (2008). Identification of Polymorphisms in Thymic Stromal Lymphopoietin (TSLP) Gene and Their Association with Allergic Rhinitis. Genes & Genomics. 30(5). 461–468. 3 indexed citations
20.
Kim, Sung Soo, et al.. (1998). Articles : Comparative Studies of Protein Modification Mediated by Fenton - like Reactions of Iron , Hematin , and Hemoglobin : Generation of Different Reactive Oxidizing Species. BMB Reports. 31(2). 161–169. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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